| Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research H Preis, PM Djurić, M Ajirak, T Chen, V Mane, DJ Garry, C Heiselman, ... Archives of women's mental health 25 (5), 965-973, 2022 | 6 | 2022 |
| Improving Open-Set Recognition with Bayesian Metric Learning T Chen, G Feng, PM Djurić ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis T Chen, G Feng, C Heiselman, JG Quirk, PM Djurić ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes T Chen, G Feng, C Heiselman, JG Quirk, PM Djuric 2023 31st European Signal Processing Conference (EUSIPCO), 1155-1159, 2023 | | 2023 |
| Characterizing Fetal Heart Rate From A State Space Perspective T Chen, G Feng, C Heiselman, JG Quirk, PM Djurić 2022 30th European Signal Processing Conference (EUSIPCO), 1248-1252, 2022 | | 2022 |
